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Physics
As the sole Tier-1 computing facility in the United States for the Large Hadron Collider's ATLAS experiment—and the largest ATLAS computing center worldwide—Brookhaven's RHIC and ATLAS Computing Facility provides a large portion of the overall computing resources for U.S. collaborators and serves as the central U.S. distribution hub for ATLAS experimental data. More...
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Biology
A systems biology knowledgebase known as KBase seeks to integrate and make broadly accessible everything we know or can learn about plants and microbes. Kbase will be a unique resource, bringing together multiple research communities and empowering them with computational tools to address fundamental biological questions. More...
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Smart Grid
Brookhaven is using high-performance computing (HPC) methods to assess electrical grid planning and performance using the power industry's existing software tools. More...
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Photon Sciences
New detector technology planned for NSLS-II requires new computing approaches to experiment control, data management, data analysis workflow, and metadata handling with high performance on data storage and retrieval, as well as visualization.More...
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Nanoscience
The Center for Functional Nanomaterials Computation Facility and Theory Group provides multi-purpose high-performance computing for internal projects. Its resources include 2,200 computing cores, supported by high-speed networking to facilitate intensive, parallel computing as well as data storage. More...
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National Nuclear Data Center
The National Nuclear Data Center collects experimental information on nuclear structure and nuclear reactions, evaluates them, maintains nuclear databases, and uses modern information technology to disseminate the results. More...
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Environmental Data Mgmt.
Brookhaven's Environmental Sciences Department Environmental Data Management Group created and manages an External Data Center for the Department of Energy's Atmospheric Radiation Measurement Climate Research Facility. More...
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Lattice QCD
Lattice Quantum Chromodynamics (Lattice QCD) simulates the interaction between quarks and gluons using Monte Carlo methods based on the theory of Quantum Chromodynamics. Lattice QCD has been successfully applied to study the QCD phase transition, CP violation, hadron structure and various other important topics in theoretical nuclear and high energy physics. More...
About the Center
The Center for Data Driven Discovery (C3D) is a multi-disciplinary center for the development, deployment, and operation of data-intensive discovery services for science, national security, and industry. Its mission is to translate the advances in computer science and applied mathematics research into algorithms, tools and services that deliver measurable improvements to the scientific discovery process. C3D’s philosophy is hereby to build close, ongoing collaborations between domain science experts, computational scientists, applied mathematicians, computer scientists and engineers. These expert teams jointly identify and address critical data analysis and management challenges within BNL’s key science mission areas and for its external client base. Next to access to expertize from within the Computational Science Initiative and extensive in-house domain science expertise , the C3D collaborators have also access to the research and operational computing and data storage capabilities provided by the BNL Scientific Data and Computing Center.
Initial focus areas for the C3D tool and service developments are streaming data analysis, long term curation and sharing solutions specifically for the users of experimental facilities.
Projects
- Complex Modeling of Nanostructures
- Deep Learning for Analysis of Materials Science Data
- Dynamic Visualization and Visual Analytics for Scientific Data
- High Performance Iterative Tomography Reconstructions
- Machine Learning Assisted Material Discovery
- Software Tools to Study Structural Dynamics in Materials
- Systems Biology Knowledgebase (KBase)
